{"id":"W2125172218","doi":"10.1109/infcom.1996.493058","title":"Context independent unique sequences generation for protocol testing","year":2002,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; Context (archaeology); Protocol (science); Geology; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002180527,0.0009948853,0.0006844123,0.001767931,0.0007085007,0.000988176,0.00139853,0.0009932338,0.002336496],"category_scores_gemma":[0.01237164,0.0004123535,0.0007682117,0.001226739,0.00140667,0.002048748,0.001482906,0.001578887,0.0005990106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009068378,"about_ca_system_score_gemma":0.001348441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006082579,"about_ca_topic_score_gemma":0.0007988837,"domain_scores_codex":[0.995603,0.002094126,0.0002787831,0.0005372977,0.00125865,0.0002281271],"domain_scores_gemma":[0.9931924,0.003827743,0.0005110924,0.001422093,0.0008962878,0.0001504067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004417782,0.0001437477,0.002222251,0.0004145692,0.00005205451,0.0004370944,0.0003469131,0.1115582,0.02216304,0.3544187,0.003782145,0.5040195],"study_design_scores_gemma":[0.00006204729,0.0002294418,0.000416456,0.0001185041,0.0000421444,0.000437059,0.00006104061,0.7179638,0.04603337,0.2222277,0.01235139,0.00005710027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00912541,0.0001349159,0.9876214,0.00006155294,0.00002985951,0.0001345005,0.00004351005,0.001540347,0.001308515],"genre_scores_gemma":[0.1770707,0.0001581974,0.8205539,0.0001112851,0.00004237053,0.0004504916,0.0002899431,0.0002795084,0.001043562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002336496,"threshold_uncertainty_score":0.01153189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.167027403744038,"score_gpt":0.3192474106906744,"score_spread":0.1522200069466363,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}